Overwhelmed by Alerts? Here’s How Brahma Fusion Filters the Noise

In today’s threat landscape, security teams face a paradox: more alerts than ever, yet less clarity about what truly matters. Alert fatigue is a widespread and well-documented issue. SOC analysts are often overwhelmed by thousands of daily alerts—most of which are irrelevant, redundant, or unactionable.

This alert overload isn’t just a productivity drain. It’s a critical security risk. When legitimate threats are buried beneath a mountain of noise, attackers can exploit the window of delayed detection and response to move laterally, exfiltrate data, or establish persistence.

This article explores the pain points of alert fatigue, the systemic causes behind noisy SOC environments, and how Peris.ai’s Brahma Fusion empowers security teams to focus on what truly matters by filtering the noise, enriching alerts, and automating intelligent response.

The Alert Fatigue Epidemic: What It Looks Like on the Ground

1. Analysts Are Overwhelmed

• The average SOC receives over 11,000 alerts per day.
• Up to 70% of these alerts are false positives.
• As a result, analysts become desensitized, leading to alert suppression, delayed investigation, or outright dismissal.

2. Teams Spend Too Much Time on Low-Value Work

• Repetitive triage of similar or duplicate alerts
• Manual correlation of logs from disconnected tools
• Searching for threat intelligence to validate alert relevance

This creates a reactive and inefficient workflow that stalls response time.

3. Real Threats Are Missed

• High-risk events are frequently buried in low-fidelity noise
• Lack of context prevents teams from separating false positives from true positives
• Detection delays increase dwell time, magnifying the impact of a breach

Why SOCs Are Flooded with Alerts

Siloed Tools and Disconnected Systems

• SIEMs, EDRs, NDRs, firewalls, and cloud platforms each generate alerts in isolation
• Without integration or correlation, analysts are forced to stitch together context manually

Static Rule-Based Detection

• Detection rules are often broad, outdated, or misconfigured
• These static rules fail to adapt to evolving attacker techniques or legitimate behavioral changes

Poor Threat Intelligence Integration

• Alerts are frequently generated without supporting threat intel
• Analysts must waste valuable time researching indicators or manually enriching alerts

Manual Playbook Execution

• Even when response playbooks exist, actions must often be triggered manually
• This creates bottlenecks, slows containment, and increases the risk of human error

The Impact: Slower Response, Higher Risk

Organizations that fail to address alert fatigue and high-volume noise experience:

• Increased Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR)
• Higher false negative rates as genuine threats go undetected
• Poor audit outcomes and greater regulatory risk due to ignored or uninvestigated alerts
• Burned-out teams with high turnover, lost institutional knowledge, and eroded morale

Brahma Fusion: Turning Alert Overload Into Operational Clarity

Brahma Fusion, developed by Peris.ai, is built to solve the root causes of alert fatigue—not just suppress alerts, but intelligently understand, correlate, prioritize, and respond. It transforms disjointed data into high-confidence, actionable intelligence.

Agentic AI Engine: Thinking Like a Human Analyst

Brahma Fusion uses an agentic AI engine that mirrors the cognitive workflow of a Tier-1 SOC analyst:

• Automatically suppresses known false positives
• Correlates alerts across multiple tools and environments to reduce noise
• Enriches alerts using INDRA's contextual threat intelligence
• Escalates only high-fidelity threats that require analyst action

This enables faster, more accurate triage at scale.

Unified Alert Stream

Instead of forcing analysts to work across fragmented tools, Brahma Fusion centralizes alerts into a single, correlated stream, aggregating and enriching data from SIEM, EDR, NDR, cloud security tools, and beyond.

Dynamic Playbook Execution

• Playbooks are triggered automatically based on risk score, alert type, and observed behavior
• Actions include:

By automating response for known threats, Brahma Fusion frees analysts to focus on the unknown.

Contextual Enrichment from INDRA

Brahma Fusion integrates with INDRA, Peris.ai’s CTI engine, to:

• Tag alerts with MITRE ATT&CK techniques and active threat actor data
• Score indicators of compromise (IOCs) based on real-world campaign activity
• Provide analysts with full situational awareness at a glance, not after hours of research

Key Benefits of Using Brahma Fusion

1. Alert Confidence

Analysts trust the alerts they see. Every alert passed through Brahma Fusion is contextually enriched and risk-scored.

2. Improved SOC Efficiency

Handle more incidents with fewer personnel. Brahma Fusion scales response capacity without growing the team.

3. Faster Incident Response

Automated triage, correlation, and containment reduce the time between detection and action.

4. Reduced Analyst Burnout

By offloading repetitive, low-value tasks, Brahma Fusion lets analysts focus on threat hunting and complex investigations.

5. Continuous Learning

The platform evolves over time through analyst feedback and adaptation to emerging threats—improving both accuracy and relevance.

How to Get Started with Brahma Fusion

1. Integrate with Your Existing Stack
2. Customize Playbooks
3. Train the Agentic Engine
4. Enable Threat Intelligence Sync
5. Tune with Analyst Feedback

Final Thoughts: Focus on What Matters

Alert fatigue isn’t just a technical nuisance—it’s a strategic vulnerability. When security teams are buried in low-quality alerts, real threats go undetected, response times lag, and the organization remains exposed.

Brahma Fusion helps your SOC cut through the noise, reduce operational friction, and accelerate the entire detection-to-response lifecycle. It turns chaos into clarity—and noise into protection.

Less noise. More clarity. Real protection.

👉 Learn how Brahma Fusion fits into your SOC strategy: https://peris.ai/